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Activate MFA

In order to protect your data, you will need to verify your identity using an app. Follow the step-by-step guide to set up MFA. MFA is required to log in to Canvas and TimeEdit.

AI can hear how ill you are

Can artificial intelligence detect illnesses from the sound of our voices? It is a question that an increasing number of researchers are asking. Carl Magnus Olsson and Dario Salvi at Malmö University are taking part in a European collaboration that is...

Home monitoring of Parkinson’s disease symptoms could improve care

A digital technology for smartphones and other portable devices, developed by Malmö University researchers, can quantify the symptoms of Parkinson’s disease in the home environment.

Software and web services

As a student, you have access to a range of software to support your studies, including Microsoft Copilot, Word, Excel and PowerPoint. You can also use Zoom for online meetings. Several other programmes and services are available to download to your...

Migration seminar: Becoming the Road: Migrant-Made Infrastructures

Department of Computer Science and Media Technology

The Department of Computer Science and Media Technology provides research-linked courses and study programmes at first-cycle and second-cycle level. The department conducts research in: Computer science, Information Systems, Software Engineering and Media...

Find your way around Campus

Find rooms with Mazemap. Use one of the available computers on campus. Find kitchenettes and quiet rooms. Report a fault in our premises.

Moving to Malmö

Moving to a new country is an exciting adventure, but there are also many things to think about: visa and permits, health insurance and healthcare, student housing, personal identity number as well as practicalities and your social life as a student.

AI produces stereotypical and anachronistic images when portraying the past

Can AI help us understand the past – or does it project a hallucination of history? A research project tested how an image model visualises the year 1936: the results are stereotypical, anachronistic and shaped by today's digital image flows.